[mirtoolbox] mirclassify
- From: Ersin Karcı <ersin.kar@xxxxxxxxx>
- To: mirtoolbox@xxxxxxxxxxxxx
- Date: Fri, 12 Nov 2010 19:40:18 +0200
Dear All,
I have a problem in using "mirclassify" function. I have several sounds
episodes which have lengths of about 5 sec each. Extracting some features
from those episodes' frames (50 msec) I obtain 100 by n (feature vector
size) matrices. At this point, my problem is how to give the inputs to
mirclassify function:
"mirclassify(test, mfcc(test), train, mfcc(train))"
*test: * The audio to be tested.. ( Does it have to be a single mirobject
or can I use a series of mirobjects? )
*
*
*
*
*mfcc(test) :* For my problem I am not using mfcc but some extra
features which are converted in to mirobject format. If I use a series of
mir object ( taken from miraudio) do I have to use seperate feature vectors
or does it have to be a single one which includes all the features?
Best Regards
Ersin Karcı
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